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Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science....
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Data Science
In diesem Kapitel wird auf den Begriff Data Science und die dahinterstehenden Forschungsdisziplinen eingegangen. Hierbei werden zentrale Aspekte...
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Data Science as a Research Method
In this chapterData science as a research method, we focus on the challenges that emerge from the fact that data science is also a research method....
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Next Generation Data Science Second Southwest Data Science Conference, SDSC 2023, Waco, TX, USA, March 24–25, 2023, Revised Selected Papers
This book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March...
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Data Science Programming Language
In this chapter, we will discuss two programming languages commonly used for data science projects, i.e., Python and R programming language. The...
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Workflow analysis of data science code in public GitHub repositories
Despite the ubiquity of data science, we are far from rigorously understanding how coding in data science is performed. Even though the scientific...
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The Variety of Data Science Learners
Since data science is considered to be an important twenty-first centurySkills21st century skill, it should be acquired by everyone—children as well...
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Data Science for AI Leaders
Data scientists are problem solvers who use programming languages, technology, and a range of statistical and math approaches to create solutions...
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Basic Python Programming for Data Science
Python is a general-purpose language so that it can be used for a wide range of applications, such as data science, computer science, software...
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Tools for Data Science Developers
How do we manage data and models? What are the tools we can use to make ourselves more efficient and agile in data science? In this chapter, we will...
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Reinforcement Learning for Data Science
In the realm of data science, where big data abound, most machine learning methods fall into one of the two categories: supervised learning in which...
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Data Science Meets High-Tech Manufacturing – The BTW 2021 Data Science Challenge
For its third installment, the Data Science Challenge of the 19th symposium “Database Systems for Business, Technology and Web” (BTW) of the...
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Data Science: From Concept to Application
This article provides an introduction to the topic of applying data science, which appears in the series “Applied Business Informatics”. After a...
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Visualising data science workflows to support third-party notebook comprehension: an empirical study
Data science is an exploratory and iterative process that often leads to complex and unstructured code. This code is usually poorly documented and,...
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Data science technology course: The design, assessment and computing environment perspectives
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science...
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Data Science—Analytics and Applications Proceedings of the 5th International Data Science Conference—iDSC2023
Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for...
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Data Science An Introduction to Statistics and Machine Learning
This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers...
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Frame Theory in Data Science
This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction,...
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Apply Data Science Introduction, Applications and Projects
This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the...
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Data Science for Managers and Policymakers
In this chapter, we focus on the first component of the MERge modelMERge model—management. In line with the MERge model as a professional...